ASUS System Product Name
Geekbench AI Score
7618
Single Precision Score
7638
Half Precision Score
17528
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | fightingmink |
| Upload Date | August 20 2024 07:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4462
829.7 IPS |
|
|
Image Classification (HP)
|
100% |
4446
826.9 IPS |
|
|
Image Classification (Q)
|
100% |
9945
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4463
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4523
73.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9363
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12210
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12141
14.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
48628
56.9 IPS |
|
|
Object Detection (SP)
|
100% |
4697
372.6 IPS |
|
|
Object Detection (HP)
|
100% |
4893
388.1 IPS |
|
|
Object Detection (Q)
|
88% |
10913
874.8 IPS |
|
|
Face Detection (SP)
|
100% |
12136
144.2 IPS |
|
|
Face Detection (HP)
|
100% |
12072
143.4 IPS |
|
|
Face Detection (Q)
|
100% |
31974
379.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13507
104.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
13373
103.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
33753
267.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31931
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32248
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
115043
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6625
244.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6595
243.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20067
743.2 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3996
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4891
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5025
86.6 IPS |
|
|
Machine Translation (Q)
|
85% |
5565
97.3 IPS |
